{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{4}{c}}
\hline\hline
            &\multicolumn{1}{c}{(1)}         &\multicolumn{1}{c}{(2)}         &\multicolumn{1}{c}{(3)}         &\multicolumn{1}{c}{(4)}         \\
\hline
PP voter (dummy)&       0.114\sym{***}&      0.0620\sym{**} &       0.131\sym{***}&      0.0965\sym{***}\\
            &    (0.0335)         &    (0.0302)         &    (0.0373)         &    (0.0348)         \\
\hline
Controls    &          No         &          No         &         Yes         &         Yes         \\
Region fixed effects&                     &                     &                     &                     \\
\hline\hline
\multicolumn{5}{l}{\footnotesize Standard errors in parentheses}\\
\multicolumn{5}{l}{\footnotesize Standard errors are robust}\\
\multicolumn{5}{l}{\footnotesize The outcome variable is a dummy for whether each respondent used a private}\\
\multicolumn{5}{l}{\footnotesize voting booth to cast their vote in the general election of November 2019}\\
\multicolumn{5}{l}{\footnotesize Models 2 and 4 include controls for income, education, age, age squared, size of}\\
\multicolumn{5}{l}{\footnotesize respondent's municipality, and a dummy for respondents identifying as female}\\
\multicolumn{5}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
\end{tabular}
}
